Dataset statistics
| Number of variables | 17 |
|---|---|
| Number of observations | 1235 |
| Missing cells | 84 |
| Missing cells (%) | 0.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 206.0 KiB |
| Average record size in memory | 170.8 B |
Variable types
| Categorical | 7 |
|---|---|
| Numeric | 10 |
AcPf_6M_APR has constant value "0" | Constant |
ID has a high cardinality: 447 distinct values | High cardinality |
Age is highly correlated with AcPf_6M_APR | High correlation |
ratio is highly correlated with TEST | High correlation |
G6PD is highly correlated with AcPf_6M_APR | High correlation |
EP_6M_AVT is highly correlated with AcPf_6M_AVT and 5 other fields | High correlation |
AcPf_6M_AVT is highly correlated with EP_6M_AVT and 5 other fields | High correlation |
EP_1AN_AVT is highly correlated with EP_6M_AVT and 5 other fields | High correlation |
AcPf_1AN_AVT is highly correlated with EP_6M_AVT and 5 other fields | High correlation |
EP_6M_APR is highly correlated with EP_6M_AVT and 5 other fields | High correlation |
EP_1AN_APR is highly correlated with EP_6M_AVT and 5 other fields | High correlation |
AcPf_1AN_APR is highly correlated with EP_6M_AVT and 5 other fields | High correlation |
Sexe is highly correlated with AcPf_6M_APR | High correlation |
TEST is highly correlated with ratio | High correlation |
Type_Hb is highly correlated with AcPf_6M_APR | High correlation |
Gpe_ABO is highly correlated with AcPf_6M_APR | High correlation |
Rhesus is highly correlated with AcPf_6M_APR | High correlation |
AcPf_6M_APR is highly correlated with TEST and 4 other fields | High correlation |
Type_Hb has 28 (2.3%) missing values | Missing |
Gpe_ABO has 28 (2.3%) missing values | Missing |
Rhesus has 28 (2.3%) missing values | Missing |
ID is uniformly distributed | Uniform |
G6PD has 34 (2.8%) zeros | Zeros |
EP_6M_AVT has 537 (43.5%) zeros | Zeros |
AcPf_6M_AVT has 1038 (84.0%) zeros | Zeros |
EP_1AN_AVT has 319 (25.8%) zeros | Zeros |
AcPf_1AN_AVT has 948 (76.8%) zeros | Zeros |
EP_6M_APR has 629 (50.9%) zeros | Zeros |
EP_1AN_APR has 499 (40.4%) zeros | Zeros |
AcPf_1AN_APR has 1044 (84.5%) zeros | Zeros |
Reproduction
| Analysis started | 2023-01-13 09:43:50.944225 |
|---|---|
| Analysis finished | 2023-01-13 09:44:14.025256 |
| Duration | 23.08 seconds |
| Software version | pandas-profiling v3.4.0 |
| Download configuration | config.json |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 19.3 KiB |
| Fem | |
|---|---|
| Mas |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 3705 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fem |
|---|---|
| 2nd row | Mas |
| 3rd row | Fem |
| 4th row | Mas |
| 5th row | Mas |
Common Values
| Value | Count | Frequency (%) |
| Fem | 639 | |
| Mas | 596 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| fem | 639 | |
| mas | 596 |
Most occurring characters
| Value | Count | Frequency (%) |
| F | 639 | |
| e | 639 | |
| m | 639 | |
| M | 596 | |
| a | 596 | |
| s | 596 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2470 | |
| Uppercase Letter | 1235 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 639 | |
| m | 639 | |
| a | 596 | |
| s | 596 |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 639 | |
| M | 596 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3705 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| F | 639 | |
| e | 639 | |
| m | 639 | |
| M | 596 | |
| a | 596 | |
| s | 596 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3705 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| F | 639 | |
| e | 639 | |
| m | 639 | |
| M | 596 | |
| a | 596 | |
| s | 596 |
| Distinct | 450 |
|---|---|
| Distinct (%) | 36.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.95700405 |
| Minimum | 3.4 |
|---|---|
| Maximum | 90.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 3.4 |
|---|---|
| 5-th percentile | 6.1 |
| Q1 | 11.7 |
| median | 20.6 |
| Q3 | 40 |
| 95-th percentile | 62.34 |
| Maximum | 90.9 |
| Range | 87.5 |
| Interquartile range (IQR) | 28.3 |
Descriptive statistics
| Standard deviation | 18.54322007 |
|---|---|
| Coefficient of variation (CV) | 0.68788134 |
| Kurtosis | -0.3112305082 |
| Mean | 26.95700405 |
| Median Absolute Deviation (MAD) | 11.5 |
| Skewness | 0.8201377808 |
| Sum | 33291.9 |
| Variance | 343.8510105 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 28 | 13 | 1.1% |
| 30 | 11 | 0.9% |
| 22 | 11 | 0.9% |
| 17 | 10 | 0.8% |
| 13 | 10 | 0.8% |
| 45 | 9 | 0.7% |
| 20 | 9 | 0.7% |
| 7.8 | 9 | 0.7% |
| 32 | 9 | 0.7% |
| 10 | 8 | 0.6% |
| Other values (440) | 1136 |
| Value | Count | Frequency (%) |
| 3.4 | 2 | |
| 3.7 | 2 | |
| 3.8 | 1 | |
| 3.9 | 1 | |
| 4 | 1 | |
| 4.1 | 1 | |
| 4.2 | 1 | |
| 4.3 | 1 | |
| 4.4 | 1 | |
| 4.5 | 1 |
| Value | Count | Frequency (%) |
| 90.9 | 1 | 0.1% |
| 89 | 1 | 0.1% |
| 80 | 2 | 0.2% |
| 78 | 3 | |
| 76 | 1 | 0.1% |
| 75.1 | 1 | 0.1% |
| 74 | 3 | |
| 72.9 | 1 | 0.1% |
| 72.4 | 1 | 0.1% |
| 72 | 6 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 19.3 KiB |
| positif | |
|---|---|
| negatif |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 8645 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | negatif |
|---|---|
| 2nd row | positif |
| 3rd row | positif |
| 4th row | positif |
| 5th row | positif |
Common Values
| Value | Count | Frequency (%) |
| positif | 971 | |
| negatif | 264 | 21.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| positif | 971 | |
| negatif | 264 | 21.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 2206 | |
| t | 1235 | |
| f | 1235 | |
| p | 971 | |
| o | 971 | |
| s | 971 | |
| n | 264 | 3.1% |
| e | 264 | 3.1% |
| g | 264 | 3.1% |
| a | 264 | 3.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 8645 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 2206 | |
| t | 1235 | |
| f | 1235 | |
| p | 971 | |
| o | 971 | |
| s | 971 | |
| n | 264 | 3.1% |
| e | 264 | 3.1% |
| g | 264 | 3.1% |
| a | 264 | 3.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 8645 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 2206 | |
| t | 1235 | |
| f | 1235 | |
| p | 971 | |
| o | 971 | |
| s | 971 | |
| n | 264 | 3.1% |
| e | 264 | 3.1% |
| g | 264 | 3.1% |
| a | 264 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8645 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 2206 | |
| t | 1235 | |
| f | 1235 | |
| p | 971 | |
| o | 971 | |
| s | 971 | |
| n | 264 | 3.1% |
| e | 264 | 3.1% |
| g | 264 | 3.1% |
| a | 264 | 3.1% |
| Distinct | 637 |
|---|---|
| Distinct (%) | 51.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.071368421 |
| Minimum | 0.32 |
|---|---|
| Maximum | 14 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0.32 |
|---|---|
| 5-th percentile | 1.09 |
| Q1 | 2.175 |
| median | 3.51 |
| Q3 | 5.335 |
| 95-th percentile | 8.907 |
| Maximum | 14 |
| Range | 13.68 |
| Interquartile range (IQR) | 3.16 |
Descriptive statistics
| Standard deviation | 2.469950292 |
|---|---|
| Coefficient of variation (CV) | 0.6066634205 |
| Kurtosis | 1.032515639 |
| Mean | 4.071368421 |
| Median Absolute Deviation (MAD) | 1.52 |
| Skewness | 1.087737084 |
| Sum | 5028.14 |
| Variance | 6.100654447 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5.3 | 6 | 0.5% |
| 3.27 | 6 | 0.5% |
| 3.5 | 6 | 0.5% |
| 3.04 | 6 | 0.5% |
| 3.55 | 6 | 0.5% |
| 2.58 | 6 | 0.5% |
| 2.22 | 6 | 0.5% |
| 3.97 | 6 | 0.5% |
| 1.81 | 5 | 0.4% |
| 3.39 | 5 | 0.4% |
| Other values (627) | 1177 |
| Value | Count | Frequency (%) |
| 0.32 | 2 | |
| 0.49 | 1 | 0.1% |
| 0.53 | 1 | 0.1% |
| 0.6 | 2 | |
| 0.62 | 1 | 0.1% |
| 0.63 | 1 | 0.1% |
| 0.64 | 1 | 0.1% |
| 0.65 | 1 | 0.1% |
| 0.7 | 1 | 0.1% |
| 0.71 | 3 |
| Value | Count | Frequency (%) |
| 14 | 1 | |
| 13.54 | 1 | |
| 13.15 | 1 | |
| 13.02 | 1 | |
| 12.79 | 1 | |
| 12.63 | 1 | |
| 12.44 | 1 | |
| 12.38 | 1 | |
| 12.05 | 1 | |
| 11.99 | 1 |
| Distinct | 447 |
|---|---|
| Distinct (%) | 36.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 19.3 KiB |
| 18/04 | 6 |
|---|---|
| 20/06 | 5 |
| 03/02 | 5 |
| 07/12 | 5 |
| 17/10 | 5 |
| Other values (442) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 6175 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 87 ? |
|---|---|
| Unique (%) | 7.0% |
Sample
| 1st row | 07/05 |
|---|---|
| 2nd row | 22/16 |
| 3rd row | 27/08 |
| 4th row | 06/25 |
| 5th row | 04/01 |
Common Values
| Value | Count | Frequency (%) |
| 18/04 | 6 | 0.5% |
| 20/06 | 5 | 0.4% |
| 03/02 | 5 | 0.4% |
| 07/12 | 5 | 0.4% |
| 17/10 | 5 | 0.4% |
| 19/07 | 5 | 0.4% |
| 13/03 | 5 | 0.4% |
| 18/13 | 5 | 0.4% |
| 19/18 | 5 | 0.4% |
| 03/22 | 5 | 0.4% |
| Other values (437) | 1184 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 18/04 | 6 | 0.5% |
| 04/06 | 5 | 0.4% |
| 29/04 | 5 | 0.4% |
| 16/14 | 5 | 0.4% |
| 07/02 | 5 | 0.4% |
| 04/01 | 5 | 0.4% |
| 15/04 | 5 | 0.4% |
| 15/06 | 5 | 0.4% |
| 09/09 | 5 | 0.4% |
| 16/04 | 5 | 0.4% |
| Other values (437) | 1184 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1240 | |
| / | 1235 | |
| 0 | 1056 | |
| 2 | 749 | |
| 3 | 414 | 6.7% |
| 4 | 373 | 6.0% |
| 6 | 266 | 4.3% |
| 8 | 221 | 3.6% |
| 5 | 220 | 3.6% |
| 7 | 201 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4940 | |
| Other Punctuation | 1235 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1240 | |
| 0 | 1056 | |
| 2 | 749 | |
| 3 | 414 | 8.4% |
| 4 | 373 | 7.6% |
| 6 | 266 | 5.4% |
| 8 | 221 | 4.5% |
| 5 | 220 | 4.5% |
| 7 | 201 | 4.1% |
| 9 | 200 | 4.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 1235 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6175 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1240 | |
| / | 1235 | |
| 0 | 1056 | |
| 2 | 749 | |
| 3 | 414 | 6.7% |
| 4 | 373 | 6.0% |
| 6 | 266 | 4.3% |
| 8 | 221 | 3.6% |
| 5 | 220 | 3.6% |
| 7 | 201 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6175 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1240 | |
| / | 1235 | |
| 0 | 1056 | |
| 2 | 749 | |
| 3 | 414 | 6.7% |
| 4 | 373 | 6.0% |
| 6 | 266 | 4.3% |
| 8 | 221 | 3.6% |
| 5 | 220 | 3.6% |
| 7 | 201 | 3.3% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 28 |
| Missing (%) | 2.3% |
| Memory size | 19.3 KiB |
| AA | |
|---|---|
| AS | 99 |
| AA+ | 10 |
| AC | 10 |
| AS+ | 5 |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.012427506 |
| Min length | 2 |
Characters and Unicode
| Total characters | 2429 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | AS |
|---|---|
| 2nd row | AA |
| 3rd row | AA |
| 4th row | AA |
| 5th row | AA |
Common Values
| Value | Count | Frequency (%) |
| AA | 1082 | |
| AS | 99 | 8.0% |
| AA+ | 10 | 0.8% |
| AC | 10 | 0.8% |
| AS+ | 5 | 0.4% |
| AF | 1 | 0.1% |
| (Missing) | 28 | 2.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| aa | 1092 | |
| as | 104 | 8.6% |
| ac | 10 | 0.8% |
| af | 1 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 2299 | |
| S | 104 | 4.3% |
| + | 15 | 0.6% |
| C | 10 | 0.4% |
| F | 1 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 2414 | |
| Math Symbol | 15 | 0.6% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 2299 | |
| S | 104 | 4.3% |
| C | 10 | 0.4% |
| F | 1 | < 0.1% |
Math Symbol
| Value | Count | Frequency (%) |
| + | 15 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2414 | |
| Common | 15 | 0.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 2299 | |
| S | 104 | 4.3% |
| C | 10 | 0.4% |
| F | 1 | < 0.1% |
Common
| Value | Count | Frequency (%) |
| + | 15 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2429 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 2299 | |
| S | 104 | 4.3% |
| + | 15 | 0.6% |
| C | 10 | 0.4% |
| F | 1 | < 0.1% |
| Distinct | 194 |
|---|---|
| Distinct (%) | 15.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.841206478 |
| Minimum | 0 |
|---|---|
| Maximum | 170.8 |
| Zeros | 34 |
| Zeros (%) | 2.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.3 |
| Q1 | 6.5 |
| median | 8.6 |
| Q3 | 11 |
| 95-th percentile | 18.8 |
| Maximum | 170.8 |
| Range | 170.8 |
| Interquartile range (IQR) | 4.5 |
Descriptive statistics
| Standard deviation | 11.19468474 |
|---|---|
| Coefficient of variation (CV) | 1.137531741 |
| Kurtosis | 108.9393718 |
| Mean | 9.841206478 |
| Median Absolute Deviation (MAD) | 2.2 |
| Skewness | 9.188825874 |
| Sum | 12153.89 |
| Variance | 125.3209664 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 41 | 3.3% |
| 0 | 34 | 2.8% |
| 7.6 | 24 | 1.9% |
| 8.5 | 22 | 1.8% |
| 7 | 22 | 1.8% |
| 9.5 | 21 | 1.7% |
| 8.6 | 20 | 1.6% |
| 11.8 | 20 | 1.6% |
| 8.7 | 20 | 1.6% |
| 10.5 | 18 | 1.5% |
| Other values (184) | 993 |
| Value | Count | Frequency (%) |
| 0 | 34 | |
| 0.12 | 4 | 0.3% |
| 0.15 | 6 | 0.5% |
| 0.16 | 5 | 0.4% |
| 0.2 | 3 | 0.2% |
| 0.23 | 2 | 0.2% |
| 0.3 | 9 | 0.7% |
| 0.35 | 2 | 0.2% |
| 0.4 | 10 | 0.8% |
| 0.46 | 5 | 0.4% |
| Value | Count | Frequency (%) |
| 170.8 | 1 | 0.1% |
| 143 | 4 | |
| 129 | 1 | 0.1% |
| 59 | 4 | |
| 35 | 2 | |
| 34.4 | 3 | |
| 32 | 3 | |
| 28.7 | 3 | |
| 26.7 | 2 | |
| 25.6 | 1 | 0.1% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 28 |
| Missing (%) | 2.3% |
| Memory size | 19.3 KiB |
| O | |
|---|---|
| A | |
| B | |
| AB | 53 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.043910522 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1260 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | B |
|---|---|
| 2nd row | A |
| 3rd row | O |
| 4th row | O |
| 5th row | O |
Common Values
| Value | Count | Frequency (%) |
| O | 533 | |
| A | 353 | |
| B | 268 | |
| AB | 53 | 4.3% |
| (Missing) | 28 | 2.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| o | 533 | |
| a | 353 | |
| b | 268 | |
| ab | 53 | 4.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| O | 533 | |
| A | 406 | |
| B | 321 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 1260 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| O | 533 | |
| A | 406 | |
| B | 321 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1260 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| O | 533 | |
| A | 406 | |
| B | 321 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1260 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| O | 533 | |
| A | 406 | |
| B | 321 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 28 |
| Missing (%) | 2.3% |
| Memory size | 19.3 KiB |
| + | |
|---|---|
| - | 78 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1207 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | - |
|---|---|
| 2nd row | + |
| 3rd row | + |
| 4th row | + |
| 5th row | + |
Common Values
| Value | Count | Frequency (%) |
| + | 1129 | |
| - | 78 | 6.3% |
| (Missing) | 28 | 2.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1207 |
Most occurring characters
| Value | Count | Frequency (%) |
| + | 1129 | |
| - | 78 | 6.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Math Symbol | 1129 | |
| Dash Punctuation | 78 | 6.5% |
Most frequent character per category
Math Symbol
| Value | Count | Frequency (%) |
| + | 1129 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 78 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1207 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| + | 1129 | |
| - | 78 | 6.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1207 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| + | 1129 | |
| - | 78 | 6.5% |
| Distinct | 13 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.28340081 |
| Minimum | 0 |
|---|---|
| Maximum | 13 |
| Zeros | 537 |
| Zeros (%) | 43.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 13 |
| Range | 13 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.795187542 |
|---|---|
| Coefficient of variation (CV) | 1.398773889 |
| Kurtosis | 6.717589107 |
| Mean | 1.28340081 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.298234018 |
| Sum | 1585 |
| Variance | 3.222698312 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 537 | |
| 1 | 326 | |
| 2 | 176 | 14.3% |
| 3 | 81 | 6.6% |
| 4 | 36 | 2.9% |
| 5 | 30 | 2.4% |
| 6 | 18 | 1.5% |
| 8 | 10 | 0.8% |
| 7 | 9 | 0.7% |
| 9 | 6 | 0.5% |
| Other values (3) | 6 | 0.5% |
| Value | Count | Frequency (%) |
| 0 | 537 | |
| 1 | 326 | |
| 2 | 176 | 14.3% |
| 3 | 81 | 6.6% |
| 4 | 36 | 2.9% |
| 5 | 30 | 2.4% |
| 6 | 18 | 1.5% |
| 7 | 9 | 0.7% |
| 8 | 10 | 0.8% |
| 9 | 6 | 0.5% |
| Value | Count | Frequency (%) |
| 13 | 1 | 0.1% |
| 11 | 2 | 0.2% |
| 10 | 3 | 0.2% |
| 9 | 6 | 0.5% |
| 8 | 10 | 0.8% |
| 7 | 9 | 0.7% |
| 6 | 18 | 1.5% |
| 5 | 30 | 2.4% |
| 4 | 36 | |
| 3 | 81 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2866396761 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 1038 |
| Zeros (%) | 84.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8904907114 |
|---|---|
| Coefficient of variation (CV) | 3.106655448 |
| Kurtosis | 29.42301467 |
| Mean | 0.2866396761 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.875461685 |
| Sum | 354 |
| Variance | 0.7929737072 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 1038 | |
| 1 | 130 | 10.5% |
| 2 | 30 | 2.4% |
| 3 | 17 | 1.4% |
| 5 | 6 | 0.5% |
| 4 | 5 | 0.4% |
| 8 | 3 | 0.2% |
| 7 | 3 | 0.2% |
| 6 | 3 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 1038 | |
| 1 | 130 | 10.5% |
| 2 | 30 | 2.4% |
| 3 | 17 | 1.4% |
| 4 | 5 | 0.4% |
| 5 | 6 | 0.5% |
| 6 | 3 | 0.2% |
| 7 | 3 | 0.2% |
| 8 | 3 | 0.2% |
| Value | Count | Frequency (%) |
| 8 | 3 | 0.2% |
| 7 | 3 | 0.2% |
| 6 | 3 | 0.2% |
| 5 | 6 | 0.5% |
| 4 | 5 | 0.4% |
| 3 | 17 | 1.4% |
| 2 | 30 | 2.4% |
| 1 | 130 | 10.5% |
| 0 | 1038 |
| Distinct | 24 |
|---|---|
| Distinct (%) | 1.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.655870445 |
| Minimum | 0 |
|---|---|
| Maximum | 25 |
| Zeros | 319 |
| Zeros (%) | 25.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 9 |
| Maximum | 25 |
| Range | 25 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.379644585 |
|---|---|
| Coefficient of variation (CV) | 1.272518617 |
| Kurtosis | 7.625820316 |
| Mean | 2.655870445 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.4358967 |
| Sum | 3280 |
| Variance | 11.42199752 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 0 | 319 | |
| 1 | 277 | |
| 2 | 205 | |
| 3 | 123 | 10.0% |
| 4 | 93 | 7.5% |
| 6 | 51 | 4.1% |
| 5 | 46 | 3.7% |
| 7 | 24 | 1.9% |
| 8 | 20 | 1.6% |
| 9 | 17 | 1.4% |
| Other values (14) | 60 | 4.9% |
| Value | Count | Frequency (%) |
| 0 | 319 | |
| 1 | 277 | |
| 2 | 205 | |
| 3 | 123 | 10.0% |
| 4 | 93 | 7.5% |
| 5 | 46 | 3.7% |
| 6 | 51 | 4.1% |
| 7 | 24 | 1.9% |
| 8 | 20 | 1.6% |
| 9 | 17 | 1.4% |
| Value | Count | Frequency (%) |
| 25 | 1 | 0.1% |
| 23 | 1 | 0.1% |
| 21 | 1 | 0.1% |
| 20 | 1 | 0.1% |
| 19 | 1 | 0.1% |
| 18 | 6 | |
| 17 | 1 | 0.1% |
| 16 | 4 | |
| 15 | 4 | |
| 14 | 5 |
| Distinct | 17 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6129554656 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 948 |
| Zeros (%) | 76.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 4 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.732283022 |
|---|---|
| Coefficient of variation (CV) | 2.82611563 |
| Kurtosis | 26.91139657 |
| Mean | 0.6129554656 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.657111505 |
| Sum | 757 |
| Variance | 3.000804467 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 0 | 948 | |
| 1 | 150 | 12.1% |
| 2 | 48 | 3.9% |
| 3 | 26 | 2.1% |
| 4 | 15 | 1.2% |
| 5 | 14 | 1.1% |
| 6 | 9 | 0.7% |
| 7 | 7 | 0.6% |
| 10 | 6 | 0.5% |
| 8 | 3 | 0.2% |
| Other values (7) | 9 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 948 | |
| 1 | 150 | 12.1% |
| 2 | 48 | 3.9% |
| 3 | 26 | 2.1% |
| 4 | 15 | 1.2% |
| 5 | 14 | 1.1% |
| 6 | 9 | 0.7% |
| 7 | 7 | 0.6% |
| 8 | 3 | 0.2% |
| 9 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 17 | 1 | 0.1% |
| 15 | 1 | 0.1% |
| 14 | 2 | 0.2% |
| 13 | 1 | 0.1% |
| 12 | 1 | 0.1% |
| 11 | 2 | 0.2% |
| 10 | 6 | |
| 9 | 1 | 0.1% |
| 8 | 3 | |
| 7 | 7 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.089878543 |
| Minimum | 0 |
|---|---|
| Maximum | 13 |
| Zeros | 629 |
| Zeros (%) | 50.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 5 |
| Maximum | 13 |
| Range | 13 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.70541693 |
|---|---|
| Coefficient of variation (CV) | 1.56477705 |
| Kurtosis | 8.479968912 |
| Mean | 1.089878543 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.542089216 |
| Sum | 1346 |
| Variance | 2.908446906 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 0 | 629 | |
| 1 | 305 | |
| 2 | 134 | 10.9% |
| 3 | 61 | 4.9% |
| 4 | 40 | 3.2% |
| 5 | 25 | 2.0% |
| 6 | 17 | 1.4% |
| 7 | 10 | 0.8% |
| 8 | 6 | 0.5% |
| 10 | 4 | 0.3% |
| Other values (4) | 4 | 0.3% |
| Value | Count | Frequency (%) |
| 0 | 629 | |
| 1 | 305 | |
| 2 | 134 | 10.9% |
| 3 | 61 | 4.9% |
| 4 | 40 | 3.2% |
| 5 | 25 | 2.0% |
| 6 | 17 | 1.4% |
| 7 | 10 | 0.8% |
| 8 | 6 | 0.5% |
| 9 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 13 | 1 | 0.1% |
| 12 | 1 | 0.1% |
| 11 | 1 | 0.1% |
| 10 | 4 | 0.3% |
| 9 | 1 | 0.1% |
| 8 | 6 | 0.5% |
| 7 | 10 | 0.8% |
| 6 | 17 | |
| 5 | 25 | |
| 4 | 40 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 19.3 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1235 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1235 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1235 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1235 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1235 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1235 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1235 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1235 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1235 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1235 |
| Distinct | 21 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.896356275 |
| Minimum | 0 |
|---|---|
| Maximum | 21 |
| Zeros | 499 |
| Zeros (%) | 40.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 8 |
| Maximum | 21 |
| Range | 21 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.900949043 |
|---|---|
| Coefficient of variation (CV) | 1.529748962 |
| Kurtosis | 10.0479828 |
| Mean | 1.896356275 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.783485003 |
| Sum | 2342 |
| Variance | 8.415505351 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 499 | |
| 1 | 285 | |
| 2 | 145 | 11.7% |
| 3 | 86 | 7.0% |
| 4 | 68 | 5.5% |
| 5 | 38 | 3.1% |
| 6 | 31 | 2.5% |
| 7 | 20 | 1.6% |
| 8 | 17 | 1.4% |
| 9 | 10 | 0.8% |
| Other values (11) | 36 | 2.9% |
| Value | Count | Frequency (%) |
| 0 | 499 | |
| 1 | 285 | |
| 2 | 145 | 11.7% |
| 3 | 86 | 7.0% |
| 4 | 68 | 5.5% |
| 5 | 38 | 3.1% |
| 6 | 31 | 2.5% |
| 7 | 20 | 1.6% |
| 8 | 17 | 1.4% |
| 9 | 10 | 0.8% |
| Value | Count | Frequency (%) |
| 21 | 1 | 0.1% |
| 20 | 1 | 0.1% |
| 19 | 2 | 0.2% |
| 18 | 3 | |
| 17 | 2 | 0.2% |
| 15 | 1 | 0.1% |
| 14 | 5 | |
| 13 | 5 | |
| 12 | 7 | |
| 11 | 4 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3781376518 |
| Minimum | 0 |
|---|---|
| Maximum | 14 |
| Zeros | 1044 |
| Zeros (%) | 84.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 14 |
| Range | 14 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.331092372 |
|---|---|
| Coefficient of variation (CV) | 3.520126507 |
| Kurtosis | 40.64210422 |
| Mean | 0.3781376518 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 5.757823407 |
| Sum | 467 |
| Variance | 1.771806902 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 0 | 1044 | |
| 1 | 104 | 8.4% |
| 2 | 37 | 3.0% |
| 3 | 13 | 1.1% |
| 4 | 10 | 0.8% |
| 5 | 7 | 0.6% |
| 7 | 6 | 0.5% |
| 8 | 4 | 0.3% |
| 6 | 3 | 0.2% |
| 11 | 2 | 0.2% |
| Other values (4) | 5 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 1044 | |
| 1 | 104 | 8.4% |
| 2 | 37 | 3.0% |
| 3 | 13 | 1.1% |
| 4 | 10 | 0.8% |
| 5 | 7 | 0.6% |
| 6 | 3 | 0.2% |
| 7 | 6 | 0.5% |
| 8 | 4 | 0.3% |
| 9 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 14 | 1 | 0.1% |
| 13 | 2 | 0.2% |
| 12 | 1 | 0.1% |
| 11 | 2 | 0.2% |
| 9 | 1 | 0.1% |
| 8 | 4 | 0.3% |
| 7 | 6 | |
| 6 | 3 | 0.2% |
| 5 | 7 | |
| 4 | 10 |
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Sexe | Age | TEST | ratio | ID | Type_Hb | G6PD | Gpe_ABO | Rhesus | EP_6M_AVT | AcPf_6M_AVT | EP_1AN_AVT | AcPf_1AN_AVT | EP_6M_APR | AcPf_6M_APR | EP_1AN_APR | AcPf_1AN_APR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Fem | 23.0 | negatif | 1.0 | 07/05 | AS | 8.50 | B | - | 0 | 0 | 4 | 1 | 3 | 0 | 4 | 0 |
| 1 | Mas | 8.8 | positif | 2.0 | 22/16 | AA | 25.00 | A | + | 4 | 2 | 7 | 5 | 3 | 0 | 7 | 5 |
| 2 | Fem | 13.1 | positif | 2.0 | 27/08 | AA | 7.00 | O | + | 1 | 0 | 1 | 0 | 1 | 0 | 2 | 1 |
| 3 | Mas | 5.0 | positif | 3.0 | 06/25 | AA | 5.10 | O | + | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 |
| 4 | Mas | 72.4 | positif | 3.0 | 04/01 | AA | 8.70 | O | + | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 5 | Fem | 10.4 | positif | 4.0 | 15/04 | AA | 0.15 | B | + | 8 | 5 | 18 | 10 | 4 | 0 | 12 | 8 |
| 6 | Fem | 4.5 | positif | 4.0 | 18/29 | AA | 15.30 | O | + | 7 | 3 | 13 | 5 | 7 | 0 | 13 | 3 |
| 7 | Mas | 7.1 | positif | 4.0 | 04/21 | AA | 10.20 | B | + | 3 | 1 | 3 | 1 | 1 | 0 | 1 | 0 |
| 8 | Mas | 17.9 | positif | 5.0 | 16/41 | AA | 170.80 | O | - | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 |
| 9 | Mas | 22.0 | positif | 6.0 | 03/06 | AA | 0.35 | A | + | 1 | 0 | 2 | 0 | 1 | 0 | 2 | 0 |
Last rows
| Sexe | Age | TEST | ratio | ID | Type_Hb | G6PD | Gpe_ABO | Rhesus | EP_6M_AVT | AcPf_6M_AVT | EP_1AN_AVT | AcPf_1AN_AVT | EP_6M_APR | AcPf_6M_APR | EP_1AN_APR | AcPf_1AN_APR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1225 | Mas | 78.0 | positif | 9.62 | 16/01 | AA | 7.05 | O | + | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 1226 | Fem | 58.5 | positif | 9.70 | 09/02 | AA | 6.80 | B | + | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 1227 | Fem | 47.0 | positif | 9.76 | 15/06 | AA | 12.50 | O | + | 3 | 1 | 3 | 1 | 3 | 0 | 5 | 0 |
| 1228 | Fem | 22.9 | positif | 9.77 | 19/18 | AA | 13.50 | O | + | 2 | 0 | 3 | 0 | 6 | 0 | 7 | 0 |
| 1229 | Fem | 7.8 | positif | 9.79 | 36/04 | AA | 5.20 | A | - | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1230 | Fem | 63.0 | positif | 9.85 | 14/18 | AA | 9.10 | O | + | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 1231 | Mas | 45.7 | positif | 9.85 | 14/23 | AS | 0.80 | O | + | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1232 | Fem | 58.9 | positif | 9.89 | 08/05 | AS | 10.80 | A | + | 0 | 0 | 2 | 0 | 2 | 0 | 2 | 0 |
| 1233 | Fem | 54.0 | positif | 9.91 | 08/05 | AS | 10.80 | A | + | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
| 1234 | Fem | 20.1 | positif | 9.95 | 03/19 | AA | 11.00 | O | + | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 0 |